Computational spectral imaging based on broadband filtering modulation is a new type of computational spectral imaging technology with great application potential in aerospace spectral imaging remote sensing field. At present, this technology is mainly applied to the miniaturization of spectral measurement instruments, but there is a lack of relevant research in the field of spectral imaging remote sensing. Therefore, the feasibility of the application of this technology in the field of spectral imaging remote sensing is studied experimentally. First, the basic principle of broadband filtering modulated spectral imaging is briefly introduced. Then, aiming at the practical demand of space optical remote sensing engineering, the principle prototype system of broadband filtering modulation spectral imaging is built by using color glass filters and industrial camera, and its spectral imaging capability is verified experimentally. Finally, the obtained spectral images are analyzed and evaluated, and the main factors affecting the measurement accuracy of the technology are studied. Experimental results show that the accuracy of spectral reconstruction is about 23%, and the edge of spectral image obtained by this technique is clear, and the noise is about 23 dB.